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Proceedings Paper

Image database construction and search algorithm for smart pixel optoelectronic systems
Author(s): Daisuke Kawamata; Makoto Naruse; Idaku Ishii; Masatoshi Ishikawa
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Paper Abstract

The extraordinary increase of digital image contents requires the development of methods to classify or quickly search video sequences in movie databases. In this paper, we suggest a novel algorithm based on Eigen value decomposition to construct and search video databases, and that can be implemented using smart pixel optoelectronic systems. By successive iterations the images are progressively classified in sets and subsets in a tree-type configuration. To evaluate this method, a movie containing 2,262 frames has been analyzed, and a successful classification of these images in function of their contents was obtained. The realization of this algorithm on a smart pixel system called OCULAR-II is also discussed, and a demonstration of the database search algorithm on the OCULAR-II system is described.

Paper Details

Date Published: 24 May 2000
PDF: 9 pages
Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); doi: 10.1117/12.386903
Show Author Affiliations
Daisuke Kawamata, Univ. of Tokyo (Japan)
Makoto Naruse, Univ. of Tokyo (Japan)
Idaku Ishii, Univ. of Tokyo (Japan)
Masatoshi Ishikawa, Univ. of Tokyo (Japan)

Published in SPIE Proceedings Vol. 4089:
Optics in Computing 2000
Roger A. Lessard; Tigran V. Galstian, Editor(s)

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